image/svg+xmlProject title: Explore And Visualize YelpDemo url: http://www-scf.usc.edu/~jingo/Jings/Group name: Jings'Team members names:Jing Ouyangjingo@usc.eduExplore and visualize Yelp restaurant datasetWho: Those interested in the food culture in different citiesWhy: Stories and features for each city based on its restaurants dataAboutWho Did WhatData and Topic NeededOther kernels in Kaggle using the same datasetfocus on restaurantsfocus on specific citiesarrange and tell the story in a sensible wayResearchOthers did not:StoryFeatures of city --> The unique points --> Bar chart/Stacked bar chartStory of cuisine --> Rating and counts of cuisines --> Coxcomb chartBusy time of city --> Restaurants open and closing time --> Light mapChoice of FormsThe dot maps of Madison and Charlotte are missing because didn't find geojsonSome cities have only 1 featureWe found more insights, but have limited time to visualizeCould Have Done BetterThank You! Q&ADesign ProcessWhat We Built1What We Built2What We Built3Coxcomb chart to show cuisine/counts/rating d3 coxcomb chart, d3 transitions:filters, d3 stack layoutWhat We Built4Light mapArcGIS, videoWhat We Built5User InteractionALL the element are responsive and phone-friendlyThe project was completed by angular.jsUsed Git to increment changesOthersDetails1The coxcomb chart axis would zoom in & out if the change of data range is not too small or too big, and would be redrawn otherwiseHave to choose at least two cuisine types to draw the coxcomb chartDetails2Jing Zhoujzhou510@usc.eduTong Wutwu665@usc.educharts, maps, storiesJing Ouyangcoxcomb, style, layoutJing ZhouTong Wulight maps, integration=====
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